Security News
The hybrid multicloud strategies that many Australian enterprises have adopted over the last decade could be made more complex by new AI applications. The only solutions could be rationalisation...
91% of respondents say their security budget is increasing this year, demonstrating a growing recognition of the importance of cybersecurity within organizations, according to Seemplicity. Vendor...
Join Intel, DETASAD, Juniper Networks, and Arqit to hear essential strategies in this webinar on July 30th Webinar Artificial Intelligence (AI) is revolutionizing industries worldwide, but with...
Legacy security measures, while offering a baseline level of protection, heavily rely on predefined signatures and a narrow definition of the “abnormal.” They often follow a reactive approach, can...
Webinar As artificial intelligence continues to transform industries in the Middle East, protecting systems from cyber threats is critical. Industry awareness: Explore the current state of AI awareness across various sectors in the Middle East, and understand specific industry challenges and solutions.
How should CISOs approach AI adoption? When weighing new AI tools, CISOs must examine the risk of a few key factors. These considerations apply to all tools that may leverage AI across all business departments, not just security tools that use AI. The first is data handling practices, from collection and processing to storage and encryption, ensuring robust access controls are in place.
Intel builds platforms and technologies that drive the convergence of AI and confidential computing, enabling customers to secure diverse AI workloads across the entire stack. Confidential computing helps secure data while it is actively in-use inside the processor and memory; enabling encrypted data to be processed in memory while lowering the risk of exposing it to the rest of the system through use of a trusted execution environment.
The opportunities to use AI in workflow automation are many and varied, but one of the simplest ways to use AI to save time and enhance your organization's security posture is by building an automated SMS analysis service. Let's take a closer look at their SMS analysis workflow, which, like all of their pre-built workflows, is free to access and import, and can be used with a free Community Edition account.
In this Help Net Security interview, Saira Jesani, Executive Director of the Data & Trust Alliance, discusses the role of data provenance in AI trustworthiness and its impact on AI models' performance and reliability. Can you explain why data provenance is critical for AI trustworthiness and how it impacts AI models' overall performance and reliability?
The "AI Leaders Spill Their Secrets" webinar, hosted by Sigma Computing, featured prominent AI experts sharing their experiences and strategies for success in the AI industry. Audience Interaction and Future Trends# Panelists answered audience questions about the future of AI, emphasizing the role of accuracy, trust, and the balance between human decision-making and AI automation.